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Applying Data Science with ScienceOps Presented by Co-founders Greg Lamp & Austin Ogilvie
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Yhat Applying Data Science with ScienceOps

Feb 09, 2017

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Elise Breda
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Page 1: Yhat Applying Data Science with ScienceOps

Applying Data Science with ScienceOps

Presented by Co-founders Greg Lamp & Austin Ogilvie

Page 2: Yhat Applying Data Science with ScienceOps

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Founded 2013Headquarters in NYC

You may know us from

We help data scientists build & deploy apps

Page 3: Yhat Applying Data Science with ScienceOps

D A T A S C I E N C E I S N O T “ I N T E R E S T I N G R E S E A R C H ”

“What distinguishes data science itself from the tools and techniques is the central goal of deploying effective decision-making models to a production environment.

Nina Zumel & John Mount,Practical Data Science with R

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H O W Y O U U S E D A T A I N T H E R E A L W O R L D M A T T E R S

Today, using data to understand and serve your customers is fundamental to the customer experience you deliver.

Oscar Health Insurance UberTurboTax

Page 5: Yhat Applying Data Science with ScienceOps

I T ’ S A B O U T P R A C T I C A L , R E A L - W O R L D S O L U T I O N S

Carl wants to watch a good movie.

Hey, Carl. Check these out!

>

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Page 6: Yhat Applying Data Science with ScienceOps

E X P L A N A T I O N I S N ’ T A L W A Y S I M P O R T A N T

Carl wants to watch a good movie.

Carl would like Frozen because Cindy liked it.

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http://courses.washington.edu/css490/2012.Winter/lecture_slides/08b_collaborative_filtering_1_r1.pdf

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Data Science Challenges

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P U T T I N G D A T A S C I E N C E I N T O A C T I O N

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Any of you know what Gradient

Boosting is?

Now What?

So when can we go live with the

new model?

DataScientist AppDevelopers

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Only

30%make it to production

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A N D T H A T ’ S J U S T T H E F I R S T C H A L L E N G E

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Integrating decision making models with other apps

Measuring the impact of your models

Adapting to change efficiently

?

Applying data science means

Page 11: Yhat Applying Data Science with ScienceOps

There has to be a better way!

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H O W T O S T O P “ T H R O W I N G I T O V E R T H E W A L L ? ”

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Data Science Application Developers

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W E L E T Y O U S H I P A N A L Y T I C S F A S T .

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Data Science

Application Developers

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Analytics Load Balancer

Model Prediction Servers

Y H A T ’ S D E C I S I O N M A N A G E M E N T S Y S T E M

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Database

Data Science Team

Front-Line Employees

Marketers

Customers

Applications

Make Predictions

Predictive Modelsv

vv

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demo

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